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Accounting • glace bay ns
Remote Senior Finance Specialist - AI Trainer
SuperAnnotateGlace Bay, Nova Scotia, CA- Cole Harbour, NS (from $ 54,090 to $ 207,252 year)
- Fergus, ON (from $ 52,538 to $ 201,427 year)
- Matane, QC (from $ 39,244 to $ 197,100 year)
- Dieppe, NB (from $ 41,925 to $ 196,029 year)
- Banff, AB (from $ 46,875 to $ 195,988 year)
- Comox, BC (from $ 53,459 to $ 195,680 year)
- Melfort, SK (from $ 50,466 to $ 191,764 year)
- Stony Plain, AB (from $ 56,879 to $ 191,285 year)
- Lasalle, ON (from $ 48,945 to $ 189,145 year)
- Castlegar, BC (from $ 63,879 to $ 189,065 year)
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Remote Senior Finance Specialist - AI Trainer
SuperAnnotateGlace Bay, Nova Scotia, CA- Full-time
- Remote
In this hourly, remote contractor role, you will review AI-generated finance analyses and / or generate expert finance content, evaluating reasoning quality and step-by-step problem-solving while providing precise written feedback. You will assess solutions for accuracy, clarity, and adherence to the prompt; identify methodological or conceptual errors; fact-check financial claims and assumptions; write high-quality explanations and model solutions; and rate and compare multiple responses based on correctness and reasoning quality. This role is with SME Careers, a fast-growing AI Data Services company and subsidiary of SuperAnnotate, delivering training data for many of the world’s largest AI companies and foundation-model labs. Your finance expertise directly helps improve the world’s premier AI models by making their financial reasoning more accurate, reliable, and clearly explained.
Key Responsibilities :
- Develop AI Training Content : Create detailed prompts in various topics and responses to guide AI learning, ensuring the models reflect a comprehensive understanding of diverse subjects.
- Optimize AI Performance : Evaluate and rank AI responses to enhance the model's accuracy, fluency, and contextual relevance.
- Ensure Model Integrity : Test AI models for potential inaccuracies or biases, validating their reliability across use cases.
Your Profile :
- Bachelor’s degree (or higher) in Finance, Economics, Accounting, Business, Financial Engineering, or Quantitative Finance (including coursework in Micro / Macro, Corporate Finance, Investments, Econometrics, and Accounting).
- 5+ years of professional experience in Finance, Economics, Accounting, Business, Financial Engineering, or Quantitative Finance.
- Strong command of financial statements, valuation (DCF and multiples), time value of money, and markets / instruments.
- Confident in risk / return reasoning, basic macro & microeconomic intuition, and financial modeling logic (assumptions, drivers, sensitivities, consistency checks).
- Able to rigorously review and explain reasoning, identify methodological errors, and fact-check claims with high attention to detail; Minimum C1 English proficiency.
- Comfortable applying structured sanity checks (conservation-style checks for finance : reconciliation, sign / units consistency, boundary cases, and plausibility bounds).
- Reliable, self-directed, and able to deliver consistent quality in an hourly, remote contractor workflow across time zones.
- Previous experience with AI data training / annotation, expert review, or editorial QA is strongly preferred.